Linear factors have a vice-like grip on quant thought. What makes them so successful? How should we move beyond them, and what happens when we try? What could possibly go wrong…?

AI
LQG 2024/06/04 – 18:30 – Whither AI? – Gary Kazantsev – at Bloomberg – IP *OLO* Hybrid
AI : What is real, and what is hype? What capabilities? What can’t they do? Explore the current state of the art in AI applications
LQG 2023/04/11 – Causal AI for Investment Management: Separating potential from pitfalls- Seminar by Ben Steiner
Ben introduces Causal AI techniques with examples and then discusses applications and the assumptions, limitations and weaknesses to separate success potential from possible or probable pitfalls.
LQG 14/12/21 – Annual Debate – 18:30 On-Line only – AI for Stock Selection
The motion: This house believes that AI is better, stronger, faster at picking stocks for investment.
Will be proposed by Ed Fishwick Managing Director at BlackRock and opposed by Desi Ivanova PhD student at the Department of Statistics at the University of Oxford
LQG 12/10/21 – On-Line – AlphaPortfolio: Direct Construction Through Deep Reinforcement Learning and Interpretable AI – Prof. Will Cong
Highlight the utility of deep reinforcement learning in finance and invent “economic distillation” tools for interpreting AI and big data models
LQG 30/06/20 – On-Line – How and why Causal AI techniques can prevent overfitting – Darko Matovski
How Causal AI can prevent ovrefitting – seminar by Darko Matovski CEO of causaLens





